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Commodities Hedge Fund Jobs (NOW HIRING)

VP of Finance

San Francisco, CA · On-site

$300 - $400/hr

Relocation Assistance Provided * Full Time * Pay rate- $300,000 - $400,000 Company Description We are partnering with a hedge fund/commodities trading firm focused on technical environmental & energy ...

Our asset class coverage spans global rates and government bonds, commodities, foreign exchange ... Support the CIO in managing a book of external hedge fund investments in the multi-strategy and ...

Providing operational support to hedge fund clients engaged in various investment strategies ... commodities, options, FX,mortgagesand repos * Addressing and researching cash / position / Market ...

Providing operational support to hedge fund clients engaged in various investment strategies ... commodities, options, FX,mortgagesand repos * Addressing and researching cash / position / Market ...

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Commodities Hedge Fund information

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$11K

$77.9K

$122K

How much do commodities hedge fund jobs pay per year?

As of Aug 22, 2026, the average yearly pay for commodities hedge fund in the United States is $77,940.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,000.00 and $100,000.00 per year, depending on experience, location, and employer.

What is a commodities hedge fund?

A commodities hedge fund is an investment fund that primarily trades in physical commodities (like oil, gold, or agricultural products) and commodity derivatives to generate returns for its investors. These funds use various trading strategies, including long and short positions, leveraging, and derivatives, to profit from price movements in commodities markets. Commodities hedge funds are typically managed by experienced professionals and are open to accredited or institutional investors. They aim to provide portfolio diversification and potential risk-adjusted returns, but they can also carry significant risks due to market volatility.

What are some common challenges faced by professionals working at a commodities hedge fund?

Professionals at commodities hedge funds often face the challenge of navigating highly volatile markets influenced by global events, weather patterns, and geopolitical shifts. Staying updated on market trends and managing risk exposure is crucial, as price swings can be sudden and significant. Additionally, the role typically requires close collaboration with analysts, traders, and risk managers to develop and execute complex trading strategies. Adapting to fast-paced environments and making data-driven decisions under pressure are key aspects of the job.

What are the key skills and qualifications needed to thrive as a commodities hedge fund analyst, and why are they important?

To thrive as a Commodities Hedge Fund Analyst, you need strong quantitative analysis skills, a solid understanding of financial markets, and typically a degree in finance, economics, or a related field. Proficiency with financial modeling tools, programming languages like Python or R, and platforms such as Bloomberg Terminal is highly valued. Exceptional critical thinking, attention to detail, and the ability to work under pressure are standout soft skills in this role. These capabilities enable analysts to make informed investment decisions, manage risk effectively, and contribute to fund profitability in a dynamic market environment.

What is the difference between Commodities Hedge Fund vs Commodities Trader?

AspectCommodities Hedge FundCommodities Trader
CredentialsAdvanced degrees, finance certifications (CFA)Relevant finance or trading experience, certifications optional
Work EnvironmentResearch-focused, team-based, office settingFast-paced, trading floors, direct market interaction
Employer & IndustryAsset management firms, hedge fundsCommodity firms, trading houses, banks
Primary FocusManaging investment strategies, risk, and portfolioExecuting trades, market analysis, profit generation

While both roles involve commodities, a Commodities Hedge Fund manages investment portfolios and strategies within a fund structure, focusing on risk management and long-term returns. A Commodities Trader actively executes trades in the market, aiming for immediate profits. The hedge fund role is more analytical and strategic, whereas the trader role is more operational and market-facing.

More about Commodities Hedge Fund jobs

What states have the most Commodities Hedge Fund jobs?

States with the most job openings for Commodities Hedge Fund jobs include:

Infographic showing various Commodities Hedge Fund job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 22% Part Time, and 1% Contract. Highlights an 91% Physical, 4% Hybrid, and 5% Remote job distribution, with an average salary of $77,940 per year, or $37.5 per hour.

Quant Analyst - Commodities (Oil)

Verition Group LLC

Houston, TX

Full-time

Re-posted 16 days ago


Job description

Firm Overview

Verition Fund Management LLC ("Verition") is a multi-strategy, multi-manager hedge fund founded in 2008. Verition focuses on global investment strategies including Global Credit, Global Convertible, Volatility & Capital Structure Arbitrage, Event-Driven Investing, Equity Long/Short & Capital Markets Trading, and Global Quantitative Trading.

Role Overview

We are seeking a quantitative researcher to join a world class commodities trading team. This role is focused on building and enhancing data, analytics, and quantitative tools that support discretionary trading decisions. The ideal candidate combines strong coding and statistical foundations with practical experience applying machine learning and early-stage AI techniques to real-world problems. Prior exposure to crude oil markets is strongly preferred.

Responsibilities

  • Develop and maintain Python-based research, analytics, and data pipelines to support trading and market analysis.
  • Design and manage databases and structured data workflows, including SQL-based querying and cloud-hosted data solutions.
  • Build dashboards and interactive tools (e.g., Streamlit) to visualize market data, signals, and risk metrics for the trading desk.
  • Apply statistical techniques and machine learning methods to analyze historical and real-time market data.
  • Contribute to the development and refinement of quantitative signals and core strategies used in commodities trading.
  • Explore and implement practical AI applications, including NLP and neural network-based approaches, where relevant to the trading process.
  • Work closely with the trader to prioritize projects, translate trading intuition into quantitative frameworks, and iterate quickly.

Qualifications

  • Python (minimum 3+ years of professional experience; required) for data analysis.
  • Prior experience in commodities markets, particularly oil, is strongly preferred.
  • Git / version control (required).
  • Solid applied statistics (e.g., linear and logistic regression, autocorrelation, time-series concepts).
  • Machine learning fundamentals and common tools (e.g., SVMs, model evaluation best practices).
  • SQL and relational databases (e.g., Snowflake).
  • Dashboarding and data visualization (ideally Streamlit).
  • Cloud platforms (AWS, Azure, or similar).
  • Experience working with large, noisy, real-world datasets.
  • Strong conceptual understanding of NLP and neural networks.
  • Motivated to build tools and research that directly impact P&L.
  • Excellent written and verbal communication skills.
  • High level of intellectual curiosity, strong work ethic, and a keen attention to detail.
  • Ability to work effectively in a team-oriented, fast-paced, and dynamic environment.